Literature DB >> 28176411

Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology.

Yu-Chun Lin1,2, Gigin Lin1,3,4, Ji-Hong Hong2,4,5, Yi-Ping Lin5, Fang-Hsin Chen2,4,5, Shu-Hang Ng1,2, Chun-Chieh Wang2,4,5.   

Abstract

PURPOSE: To investigate the biological meaning of apparent diffusion coefficient (ADC) values in tumors following radiotherapy.
MATERIALS AND METHODS: Five mice bearing TRAMP-C1 tumor were half-irradiated with a dose of 15 Gy. Diffusion-weighted images, using multiple b-values from 0 to 3000 s/mm2 , were acquired at 7T on day 6. ADC values calculated by a two-point estimate and monoexponential fitting of signal decay were compared between the irradiated and nonirradiated regions of the tumor. Pixelwise ADC maps were correlated with histological metrics including nuclear counts, nuclear sizes, nuclear spaces, cytoplasmic spaces, and extracellular spaces.
RESULTS: As compared with the nonirradiated region, the irradiated region exhibited significant increases in ADC, extracellular space, and nuclear size, and a significant decrease in nuclear counts (P < 0.001 for all). Optimal ADC to differentiate the irradiated from nonirradiated regions was achieved at a b-value of 800 s/mm2 by the two-point method and monoexponential curve fitting. ADC positively correlated with extracellular spaces (r = 0.74) and nuclear sizes (r = 0.72), and negatively correlated with nuclear counts (r = -0.82, P < 0.001 for all).
CONCLUSION: As a radiomic biomarker, ADC maps correlating with histological metrics pixelwise could be a means of evaluating tumor heterogeneity and responses to radiotherapy. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:483-489.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  apparent diffusion coefficient; diffusion MRI; radiotherapy

Mesh:

Substances:

Year:  2017        PMID: 28176411     DOI: 10.1002/jmri.25583

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

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Journal:  Nucl Med Mol Imaging       Date:  2018-02-01

2.  Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.

Authors:  Daesung Kang; Ji Eun Park; Young-Hoon Kim; Jeong Hoon Kim; Joo Young Oh; Jungyoun Kim; Yikyung Kim; Sung Tae Kim; Ho Sung Kim
Journal:  Neuro Oncol       Date:  2018-08-02       Impact factor: 12.300

3.  Validation of Prostate Tissue Composition by Using Hybrid Multidimensional MRI: Correlation with Histologic Findings.

Authors:  Aritrick Chatterjee; Crystal Mercado; Roger M Bourne; Ambereen Yousuf; Brittany Hess; Tatjana Antic; Scott Eggener; Aytekin Oto; Gregory S Karczmar
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4.  Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Authors:  Isaac Shiri; Hasan Maleki; Ghasem Hajianfar; Hamid Abdollahi; Saeed Ashrafinia; Mathieu Hatt; Habib Zaidi; Mehrdad Oveisi; Arman Rahmim
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5.  Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.

Authors:  Yu-Chun Lin; Chia-Hung Lin; Hsin-Ying Lu; Hsin-Ju Chiang; Ho-Kai Wang; Yu-Ting Huang; Shu-Hang Ng; Ji-Hong Hong; Tzu-Chen Yen; Chyong-Huey Lai; Gigin Lin
Journal:  Eur Radiol       Date:  2019-11-11       Impact factor: 5.315

6.  Predicting Biochemical Failure in Irradiated Patients With Prostate Cancer by Tumour Volume Measured by Multiparametric MRI.

Authors:  Benedict Oerther; Moritz V Buren; Christina M Klein; Simon Kirste; Nils H Nicolay; Tanja Sprave; Simon Spohn; Deepa Darshini Gunashekar; Leonard Hagele; Lars Bielak; Michael Bock; Anca-L Grosu; Fabian Bamberg; Matthias Benndorf; Constantinos Zamboglou
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Review 7.  Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapy.

Authors:  Fei Yang; John C Ford; Nesrin Dogan; Kyle R Padgett; Adrian L Breto; Matthew C Abramowitz; Alan Dal Pra; Alan Pollack; Radka Stoyanova
Journal:  Transl Androl Urol       Date:  2018-06

Review 8.  The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.

Authors:  Zhenyu Liu; Shuo Wang; Di Dong; Jingwei Wei; Cheng Fang; Xuezhi Zhou; Kai Sun; Longfei Li; Bo Li; Meiyun Wang; Jie Tian
Journal:  Theranostics       Date:  2019-02-12       Impact factor: 11.556

9.  Comparison of Two Mathematical Models of Cellularity Calculation.

Authors:  Hans Jonas Meyer; Nikita Garnov; Alexey Surov
Journal:  Transl Oncol       Date:  2018-02-03       Impact factor: 4.243

10.  Metabolic characterization and pathway analysis of berberine protects against prostate cancer.

Authors:  Xianna Li; Aihua Zhang; Hui Sun; Zhidong Liu; Tianlei Zhang; Shi Qiu; Liang Liu; Xijun Wang
Journal:  Oncotarget       Date:  2017-04-28
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